The list of the special sessions (the details will be added once confirmed):
  • Modelling & Optimization in Engineering
    Prof. Dr. Ramazan Yaman, Istanbul Atlas University, Turkey, ryaman@atlas.edu.tr
    Prof. Dr. Ahmet Sahiner, Suleyman Demirel University, Turkey, ahmetsahiner@sdu.edu.tr
    Assoc. Prof. Dr. Firat Evirgen, Balikesir University, Turkey, fevirgen@balikesir.edu.tr
    The goal of this session is to discuss recent developments in applications of optimization methods by bringing together researchers and practitioners working in the field of optimization theory, methods, software and related areas.
    • Mathematical programming
    • Global optimization
    • Nondifferential optimization
    • Continuous optimization
    • Combinatorial optimization
    • Multicriteria optimization
    • Equilibrium programming
    • Game theory
    • Data mining
    • Population based algorithms
    • Artificial intelligence technologies
    • Applications of optimization in natural sciences
    • Applications of optimization in engineering
    • Energy systems modelling and optimization
  • Operational Research
    Prof. Dr. Gerhard-Wilhelm Weber, Poznan University of Technology, Poland, gerhard.weber@put.poznan.pl
    Assoc. Prof. Dr. Aslan Deniz Karaoglan, Balikesir University, Turkey, deniz@balikesir.edu.tr
    Assoc. Prof. Dr. Ibrahim Kucukkoc, Balikesir University, Turkey, ikucukkoc@balikesir.edu.tr
    Asst. Prof. Dr. Burcu Gurbuz, Uskudar University, Turkey, burcu.gurbuz@uskudar.edu.tr
    This session aims to bring together researchers working on the topics related to operational research to discuss recent developments in the theory and application of operational research techniques.
    • Business analytics for manufacturing systems
    • Analytics, optimization and machine learning in manufacturing and supply chains
    • Intelligent manufacturing systems
    • Intelligent transpportation
    • Protfolio optimization
    • Network models
    • Inventory control, production planning and scheduling
    • Sustainable manufacturing
    • Robotics in manufacturing
    • Modeling, simulation, control and monitoring of manufacturing processes
    • Logistics, supply chains and networks
    • Facility planning and materials handling
    • Energy systems modelling
    • Design and reconfiguration of manufacturing systems
  • Control Theory & Applications
    Prof. Dr. Kemal Leblebicioglu, METU, Turkey,kleb@metu.edu.tr
    Prof. Dr. Metin Demirtas, Turkey, mdtas@balikesir.edu.tr
    Asst. Prof. Dr. Beyza Billur Iskender Eroglu, Balikesir University, Turkey, biskender@balikesir.edu.tr
    This session aims to discuss a broad range of topics including current trends of linear, nonlinear, discrete and fractional control systems as well as new developments in robotics and mechatronics, unmanned systems, energy systems with the goal of strengthening cooperation of control and automation scientists with industry.
    • Adaptive control
    • Linear and nonlinear control systems
    • Optimal control
    • Discrete time control systems
    • Robust control
    • Fractional order systems and control
    • Chaotic systems and control
    • Evolutionary and heuristic control
    • Robotic control
    • Energy management and control
    • Control of unmanned air and undersea vehicles
  • Fractional Calculus with Applications in Biology
    Prof. Dr. Dumitru Baleanu, Cankaya University, Turkey, dumitru@cankaya.edu.tr
    Prof. Dr. Carla Pinto, School of Engineering, Polytechnic of Porto, Portugal, cap@isep.ipp.pt
    Prof. Dr. Necati Ozdemir, Balikesir University, Turkey, nozdemir@balikesir.edu.tr
    The goal of this session is to bring together creative and active researchers, in theoretical analysis and numerical tools, to discuss recent developments in applications of fractional order models of biological models. Fractional order models have become ubiquitous research topics in the last few decades. Their memory property contributes to a better and profound understanding of the dynamics of real world models, namely of biological population problems. Stochastic and deterministic models and coinfection models, as well as computational models, are welcome for HIV, HCV, Ebola, Zika, etc, in this session.
    • New numerical methods to solve fractional differential equations
    • Deterministic and stochastic fractional differential equations
    • Computational methods for fractional differential equations
    • Bifurcation theory
    • Stability theory
    • Cancer development models: chaos, synchronization
    • Applications in bioengineering, medicine, ecology, biology, epidemiology
  • Numerical Methods in Fractional Calculus
    Prof. Dr. Zakia Hammouch, Universite Moulay Ismail FSTE Errachidia, Morocco, hammouch.zakia@gmail.com
    Assoc. Prof. Dr. Ali Konuralp, Celal Bayar University, Turkey, ali.konuralp@cbu.edu.tr
    Assoc. Prof. Dr. Mehmet Yavuz, University of Exeter, UK, m.yavuz@exeter.ac.uk
    In the few decades, fractional differential equations has played a very important role in various fields. Based on the wide applications in engineering and sciences such as physics, mechanics, chemistry, and biology, research on fractional ordinary or partial differential equations and other relative topics is active and extensive around the world. In the past few years, the increase of the subject is witnessed by hundreds of research papers, several monographs, and many international conferences. The objective of this special session is to highlight the importance of numerical methods and their applications and let the readers of this journal know about the possibilities of this new tool.
    • New methods for solving fractional differential equations
    • Controllability of fractional systems of differential equations or numerical methods applied to the solutions of fractional differential equations applications in physics, mechanics, and so forth
    • Iteration methods for solving partial and ordinary fractional equations
    • Numerical methods for solving fractional integro-differential equations
    • Numerical functional analysis and applications
    • Local and nonlocal boundary value problems for fractional partial differential equations
    • Stochastic partial fractional differential equations and applications
    • Computational methods in fractional partial differential equations
    • Numerical methods for solving variable order differential equations
    • Perturbation methods for fractional differential equations
  • New Fractional Derivatives and Their Applications
    Prof. Dr. Dumitru Baleanu, Cankaya University, Turkey, dumitru@cankaya.edu.tr
    Prof. Dr. Jordan Hristov, Sofia, Bulgaria, jyh@uctm.edu
    Assoc. Prof. Dr. Derya AVCI, Balikesir University, Turkey, dkaradeniz@balikesir.edu.tr
    Nowadays, there has been an increasing interest to the new types of fractional derivatives. The well-known fractional derivatives such as Riemann-Liouville, Caputo, Riesz are successful for modelling real World problems. In addition, these fractional operators give the memory and hereditary effects in physical phenomena. However, these are non-local operators described by convolution integrals with weakly singular kernels. Due to these structures, some complexities can naturally occur in the mathematical modelling and solution processes. Because of these hardness, many researchers have paid attention to introduce new derivatives with fractional parameter in the last years. Caputo-Fabrizio, Atangana-Baleanu, Beta, Conformable derivatives with fractional parameter are pioneering definitions in this sense.
    • Description of new fractional derivatives
    • New properties of new fractional derivatives
    • Integral transform techniques in sense of new fractional operators
    • New analytical/numerical methods
    • Mathematical modelling in terms of new fractional operators
    • Foundation of new relations between existing and new fractional operators
  • Nonlinear Dynamical Systems and Chaos
    Prof. Dr. Huseyin Merdan, TOBB ETU, Turkey, merdan@etu.edu.tr
    Prof. Dr. Songul Kaya Merdan, METU, Turkey, smerdan@metu.edu.tr
    This special sesion focuses on the dynamics of complex systems, which are one of the most attractive subjects of the modern sciences. The attractiveness of this particular area arises from two different aspects: The first one is that it provides challenges, which are connected with many uncertainties in description of irregular motions. The second one is methods of investigation, which are not yet well developed and established. Applications of complex dynamics investigations are very important and deal with a wide range of problems. They begin with mechanical problems and extend to earthquake prediction and social sciences problems. We are interested in those investigations in electrical and mechanical engineering, physics, biology, economics, finance, neuroscience, computer sciences, fluid dynamics and earthquake monitoring, which urgently need mathematical modeling of their problems and analysis through nonlinear dynamical systems approach.
    • ODE, DDE and PDE based modelling for complex systems
    • Dynamical systems and chaos
    • Bifurcation theory
    • Synchronization
    • Control theory
    • Fluid Dynamics
    • Stochastic complex dynamical systems and randomness
    • Hybrid systems
    • Complex networks based-models
    • Neural Networks
    • Bio-engineering, bio-imaging and bio-fluids
    • Population dynamics and conservation biology
    • Ecosystems
    • Evolution and ecology
    • Epidemiology and disease modeling
    • Neuroscience
    • Regulatory networks
    • Cell and Tissue biophysics
    • Evolution and populations genetics
    • Cell and developmental biology
    • Cancer and immunology
    • Environmental sciences
    • Social economy systems
    • Climate change
    • Financial engineering
    • Matematical finance
  • Nonlinear Transport Phenomena and Models
    Prof. Dr. Jordan Hristov, Sofia, Bulgaria, jyh@uctm.edu; Jordan.hristov@mail.bg
    The special section focuses on modelling of nonlinear transport phenomena (heat, mass and momentum) as well as models related to real world application. Models with both local and fractional differential operators involved in modelling in such models are welcome. The topics drawn below are the main directions but no restrictive and any new problems outside them are welcome.
    • Nonlinear diffusion and heat transfer (conduction)
    • Nonlinear viscoelasticity and plasticity
    • Modelling rheology of complex fluids, solids and granular systems (hydrodynamics, large strain deformations and mixing)
    • Nonlinear kinetic and rate equations and irreversible thermodynamics
    • Models of nonlinear biological and medical problems for real-world applications
    • Models for treatment of nonlinear signal processing and control
    • Nonlinear electrical and magnetic phenomena and nonlinear applied models in electrotechnics (nonlinear magnetic circuits, high frequency skin effects, supercapacitors, etc.)
    • Inverse problems in nonlinear models of transport phenomena
    • New nonlinear models (broad aspect)
    • Analytical and numerical methods for solution of nonlinear models
    • Scaling and dimensional analysis
  • Computational Methods for Treatment of Linear and Nonlinear Models
    Prof. Dr. Murat Sari, Yildiz Technical University, Turkey, sarim@yildiz.edu.tr
    Prof. Dr. Elvan Akin, Missouri University of Science, USA, akine@mst.edu
    Prof. Dr. Canan Celik Karaaslanli, Yildiz Technical University, Turkey, celikcan@yildiz.edu.tr
    Mathematical modeling is the art of transforming problems from a field of application into traceable mathematical formulations whose theoretical and numerical analysis provides insight, answers, and guidance useful for the better understanding the universe. Mathematical modeling is inevitable in many fields of science and gives precision, direction and low-cost for problem solutions. Mathematical modeling yields a way for better understanding or design of a system and leads to the use of modern computing capabilities.
    This session will include distinguished works at the interface between applied mathematics and computational methods via linear and nonlinear models occurred in the physical, biological, engineering, and economical sciences. By considering the linear/nonlinear or deterministic/stochastic models with a flexible approach, this session encourages versatile understanding of the computational science. Robust numerical methods or simulation techniques as well as new designs of mathematical models are welcome to this session.
    • Numerical Solutions of Partial Differential Equations
    • Biological Models and Computational Analysis
    • Stochastic Models and Applications
    • Stiff Problems and Their Numerical Investigations
    • Discrete Models and Applications
    • Computational Fixed-Point Methods
    • Adaptive Numerical Methods
    • Computational Fluid Dynamics
    • Molecular Dynamic Simulations